ML got this far on open collaboration. Now it's U.S. export controls, Anthropic lockouts, and Alibaba distillation fights. Sad state of affairs for global ML. https://www.reuters.com/world/china/alibaba-ban-claude-code-workplace-over-alleged-backdoor-risks-source-says-2026-07-03/
Rasmus Ros
@rasros.bsky.social
CS PhD & Head of Eng @ Theca. Building Eignex in public: an optimization platform merging combinatorial optimization with probabilistic streaming ML (RL). Sharing the practical reality of SWE, experimentation, and production AI in Kotlin. eignex.com
Anthropic: the worlds most dangerous model too powerful to release. Also Anthropic: we have no idea why we are forced to pull Fable. It's just a misunderstanding.
The best part about new Anthropic model releases is the accompanying weekly limit resets from all the bug fixes.
Cool article about optimizing images in RAG pipelines. Precomputing image-to-text is obvious, but they have some nice extensions that are worth reading about. https://www.kapa.ai/blog/how-we-index-images-for-rag
How we index images for RAG - kapa.ai - Instant AI answers to technical questions
Reading the screenshots, diagrams and tables in technical documentation for LLMs
kapa.ai
Spent the afternoon watching Claude confidently diagnose a Kotlin/Wasm compiler bug: minimal repro, version bisect, "we should pin the toolchain and file upstream." It was a latent infinite loop in my own solver. It's never the compiler. It's never the compiler. Scarily human-like tbh. 🙃
Good HN blog article on using LLMs at a slower pace: using multiple agents on the same PR to surface issues, then reviewing and filtering the comments yourself, is a pretty sensible way to trade speed for better code. https://nolanlawson.com/2026/05/25/using-ai-to-write-better-code-more-slowly/
Using AI to write better code more slowly
A lot of people seem convinced that the point of AI coding is to write low-quality code as fast as possible. Spew out barely-passable slop, open massive PRs, and merge them unvetted. Ship it! But t…
nolanlawson.com
I'm still thinking about the result by OpenAI solving a real conjecture. How much of it is LLMs capability of being good at everything vs doing something really inspired? Or that they probably tried pretty much all major unsolved problems and got lucky on one? Or maybe I'm coping 🙃
Google reportedly auto-updated Antigravity from an IDE into a standalone chat app, broke side-by-side installs, and had people purging binaries to get the old IDE back. Good writeup here. https://www.0xsid.com/blog/antigravity-bait-n-switch
OpenAI must be pissed they just got passed by Anthropic in valuation right as they're gearing up for an IPO. Great timing. https://www.cnbc.com/2026/05/20/openai-ipo-filing.html
OpenAI to confidentially file for IPO as soon as Friday: Source
OpenAI is working with banks including Goldman Sachs and Morgan Stanley.
cnbc.com
Is this the new exciting world of SEO, hacking Google's AI Overview so one false claim gets repeated at scale? Pairs well with Google making AI Overviews the default. https://www.bbc.com/future/article/20260519-google-tackles-attempts-to-hack-its-ai-results
Google's AI is being manipulated. The search giant is quietly fighting back
A BBC investigation revealed a simple way to get AI chatbots to spit out misinformation. Google and other AI companies are now trying to fix the problem.
bbc.com
Every time Google's pronounced dead in the AI race, they release something like Gemini 3.5 Flash today. It beats some flagship models while still being the fast, cheaper tier. Still odd they don't match OpenAI or Anthropic on release cadence given their cash flow.
ByteDance just released a 3B unified model that's competitive across image, video, editing, and understanding. Multimodal seems to come for free now? https://huggingface.co/bytedance-research/Lance
bytedance-research/Lance · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
Anthropic acquired Stainless, the SDK and codegen behind its client libraries. Points in a familiar direction: more of the API layer pulled in-house, less neutrality in the tooling stack, tighter control over how developers integrate. https://www.anthropic.com/news/anthropic-acquires-stainless
Anthropic acquires Stainless
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
anthropic.com
Claude 500 errors again. Maybe I should spend the time to properly investigate OpenCode. So I can at least switch provider when one is down. If only I could run claude on it 🙄
SWE profession is saved, I found something that I'm better at than Claude. It tends to say 1 day of work and finish in 5 minutes. My estimates are typicall better but wrong in the other direction.
Progress bar on compacting.. amazing progress. But seriously, why don't we have an option for amortized background compaction? Sometimes there's just a stream of related simple things to do and I can't be bothered to micro manage context.
I'm returning to an old codebase after 6 years. I wish I had someone else to blame for all of this. The lack of LLM comments feels refreshing… though they would've been useful.
Released v1 of Kumulant: a Kotlin/KMP library for streaming statistics. It summarizes data streams without buffering, using sketches, histograms, and rolling moments with tunable concurrency. github.com/eignex/kumul... #Kotlin #KotlinMultiplatform #DataEngineering #StreamProcessing
GitHub - Eignex/kumulant: Fast, concurrency-friendly streaming statistics for Kotlin/KMP.
Fast, concurrency-friendly streaming statistics for Kotlin/KMP. - Eignex/kumulant
github.com
Conventional wisdom: typed schemas and serialization formats are separate concerns. I tried. They wanted to be the same thing. Designing one shape for both typed Kotlin and YAML deleted a translation layer I'd quietly planned to build. eignex.com/posts/one-sh...
One Shape Across the Eignex Stack
A checkpoint on the Eignex rewrite, three months in: the libraries have converged on one config shape, and combo is the next domino.
eignex.com
Hi, I'm Rasmus. Head of engineering by trade, building Eignex on the side: open-source infrastructure for optimization loops in production. Posting here as I build it. eignex.com/posts/building-eignex-in-the-open/ #buildinpublic #opensource
Building Eignex in the Open
A quick who-am-I and what-is-this. PhD in continuous optimization, left academia, now building Eignex in the open.
eignex.com
Every "AI makes us dumber" take has been made about calculators and search engines. The panic is half right: tools change what we bother to remember. The new variable is that this one ships inside an engagement loop built to keep you using it. eignex.com/posts/writing-the-loss-function/ #AI #LLMs
Writing the Loss Function
I keep seeing the 'AI is making us dumber' argument. It replays past tool panics, but the engagement loop AI is landing inside is the new variable.
eignex.com